Top DevOps Jobs in Dublin

Lead and coordinate cross-functional, large-scale technical programs to deliver cloud-native microservices. Coach Agile teams (SAFe/Scrum@Scale), plan sprints, remove impediments, align product and engineering priorities, report status, and drive performance, security, reliability, and continuous improvement across integrations and platforms.

Lead and coordinate cross-team technical programs for a global, microservices-based payments platform. Drive execution, coach Agile practices (SAFe/Scrum@Scale), manage stakeholders, remove impediments, and ensure scalable, secure, reliable cloud-native service delivery.

Lead and coordinate cross-functional engineering teams to deliver cloud-native, microservices-based payment platform features. Drive multi-team initiatives, coach Agile/SAFe practices, remove impediments, plan sprints, manage stakeholders, and ensure performance, security, and reliability at scale.

Lead and coordinate large-scale, cloud-native microservices programs across multiple teams. Drive execution, coach Agile/SAFe practices, remove impediments, align stakeholders, plan sprints, and ensure performance, security, and reliability of payment platform features.

Lead and coordinate delivery of large, cross-team cloud-native software initiatives for Mastercard's Network Solutions. Drive technical execution, coach Agile practices (SAFe/Scrum@Scale), remove impediments, align with product and architecture, and report progress. Influence design, cloud infrastructure, and integration choices while ensuring performance, security, and reliability at scale.

Lead and coordinate cross-team technical programs for a global, microservices-based payments platform. Drive execution, coach Agile practices, remove impediments, align priorities with product, and contribute to architecture, cloud infrastructure, and delivery strategies to ensure scalable, secure, and reliable software delivery.

Lead and coach Agile engineering teams to deliver cloud-native, microservice-based payment platform features. Drive cross-team technical programs, influence architecture and cloud choices, remove impediments, coordinate priorities with product, and report program status to stakeholders while applying continuous improvement.

Lead and coordinate cross-team technical programs for a global, microservices-based payments platform. Define architecture and cloud infrastructure choices, drive execution across multiple teams, coach Agile practices (SAFe/Scrum@Scale), remove impediments, manage stakeholder communication, and ensure performance, security, and reliability for high-scale software deliveries.

Lead and coordinate large-scale, cloud-native technical programs across multiple teams. Coach Agile practices (SAFe/Scrum@Scale), remove impediments, plan sprints, drive delivery, partner with product and engineering, and ensure performance, security, and reliability of microservices-based payment platforms.

Lead and coordinate large, cross-team technical initiatives for a global, microservices-based payments platform. Define architecture and cloud infrastructure choices, plan and track delivery across teams, coach Agile/SAFe practices, remove impediments, report status to stakeholders, and partner with product, architects, and engineers to deliver scalable, secure, high-performance features.

Lead and coordinate large-scale, cloud-native microservices initiatives for payments, coaching Agile teams (SAFe/Scrum@Scale), removing impediments, aligning stakeholders, planning sprints, and delivering reliable, secure production software at scale.

Senior Site Reliability Engineer responsible for ensuring reliability, scalability, and performance of Mastercard applications. Drive observability, automation, capacity planning, incident triage, root-cause analysis, and proactive improvements. Collaborate with developers to embed operational design, implement CI/CD and infrastructure-as-code, and apply ITSM practices to manage incidents, changes, and risk while mentoring peers and contributing to operational standards and documentation.

Perform security reviews of third-party and internal applications; recommend secure designs and controls; define cloud and SDLC security for applications, mobile, web services, DevOps, CI/CD and GenAI/LLM use; collaborate with developers and stakeholders; ensure policies, standards, and regulatory requirements are met; present technical findings and implement secure automation.

Assess and harden applications, third-party technologies, and cloud systems; define secure designs and requirements; consult with developers and stakeholders; apply cryptography, security protocols, and automation (including GenAI/LLM) to enable secure SDLC and CI/CD practices.

Perform security reviews of third-party and internal applications, advise on secure architecture and cloud designs, define SDLC security requirements, collaborate with developers, and apply GenAI-based automation to enhance security processes.

Lead security reviews of internal and third-party applications, advise on secure design and architecture, define cloud and SDLC security requirements, automate security checks (including GenAI/LLM), collaborate with developers and stakeholders to meet regulatory and security standards, and support security strategy, standards, and controls across application, mobile, web service, DevOps and CI/CD environments.

Lead security reviews and secure design for internal and third-party applications. Advise developers and stakeholders on secure architecture, cloud and DevOps controls, cryptography, and AI/LLM risks. Define security requirements, standards, and SDLC practices; perform technical evaluations, automation using GenAI, and present findings to business and technical teams.

Lead security reviews and secure engineering for internal and third-party applications. Define security requirements for cloud, mobile, web services, DevOps and CI/CD. Recommend secure designs, perform technical evaluations, present findings, and help implement GenAI-based automation and cryptography controls.

Lead security reviews of third-party and internal applications, advise on secure architecture and SDLC practices, define cloud and application security controls, collaborate with developers and stakeholders, apply cryptography and security tooling expertise, and advance GenAI/LLM-based automation for security processes.

Lead security reviews of internal and third-party applications, advise on secure architecture and cloud designs, define SDLC security requirements, apply GenAI automation, collaborate with developers and stakeholders to meet security and regulatory needs, and implement cryptography and infrastructure security controls.

Lead security reviews and architecture for applications, cloud, DevOps and mobile; evaluate third-party tech; define secure designs, controls and SDLC requirements; collaborate with developers and stakeholders to implement cryptography, CI/CD, GenAI/LLM safeguards and operational security controls.

Senior Information Security Engineer to perform security reviews of third-party and internal technologies, advise on secure design and architecture (cloud, mobile, DevOps, CI/CD, GenAI), define security requirements, collaborate with developers and stakeholders, and ensure compliance with security policies and standards.

Own and evolve Mastercard's AI-native data platform and applications: define roadmap, treat data as product with SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure regulatory and security compliance, and translate regional customer needs into scalable data products.

Own and evolve an AI-native data platform and products: define roadmap and backlog, treat data as a product with SLAs and governance, transform structured/unstructured data into reusable schemas and datasets, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy, translate regional needs into scalable models, analyze market trends, and drive product delivery within budget and timelines.

Lead product strategy and execution for Mastercard's AI-native data platform and products. Define roadmaps, data-as-product SLAs, governance, reusable data primitives and agentic AI/HITL workflows. Manage cross-functional teams, ensure compliance with security/privacy/regulatory requirements, translate regional needs, and deliver scalable data models, APIs, dashboards and datasets to meet business objectives.